EE BIOL C202
Advanced Statistics in Ecology and Evolutionary Biology
Ecology and Evolutionary Biology · 4 units · Graduate courses (200-299)
Overview of and application of advanced statistical methods that go beyond linear models and mean comparison, including bootstrapping, permutations, Bayesian statistics, mixed models, clustering, and network analysis. At course end students should be able to explain which statistical approaches are appropriate for different types of research questions and critically evaluate their outputs. All statistical analysis conducted in R. Concurrently scheduled with course C172.
S/U or letter grading.
When it runs
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Requisites
Official UCLA wording
Enforced Requisite: Life Sciences 40 or Statistics 10 or 13.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
EE BIOL C202
- LIFESCI 40Statistics of Biological Systems
- LIFESCI 30AMathematics for Life Scientists
- STATS 10Introduction to Statistical Reasoning
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
3 direct requisites. The whole upstream is here — 4 courses over 2 levels. Every course here opens its own tree.
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What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.